A wireless intrusion detection method based on neural network

被引：0
|
作者：
Liu, Yan-heng [1 ]
Tian, Da-xin
Wei, Da
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China
来源：
PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND TECHNOLOGY | 2006年
关键词：
wireless network; intrusion detection; neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The broadcast nature of wireless networking has introduced many security issues that do not exist in the wired world. The encryption and authentication methods specified in the 802.11 standard are flawed, leading to serious security issues. In this paper an intrusion detection method based on neural network is presented. It is an anomaly detection method and the feature is selected from the packets. In the experiments, we first check the ability of the neural network and then use it to perform detection in a WLAN. The results show that it can detect new intrusion behavior and some improving methods are presented in the conclusions. 505-007 in display pdf
引用
收藏
页码：207 / +
页数：3
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